Kidney Tumor Classification on CT images using Self-supervised Learning-Reference-Cited by-同舟云学术

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Kidney Tumor Classification on CT images using Self-supervised Learning

Published:2024-06 Issue: Volume:176 Page:108554
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Özbay Erdal^ORCID,Özbay Feyza Altunbey^ORCID,Gharehchopogh Farhad Soleimanian^ORCID

Publisher

Elsevier BV

Reference61 articles.

1. Association of chronic kidney disease with total and site-specific cancer incidence in participants of the Japan Public Health Center-based Prospective Study;Miyamoto;Nephrol. Dial. Transplant.,2023

2. Kidney cancer diagnosis and surgery selection by machine learning from CT scans combined with clinical metadata;Mahmud;Cancers,2023

3. Radiology imaging scans for early diagnosis of kidney tumors: a review of data analytics-based machine learning and deep learning approaches;Gharaibeh;Big Data and Cognitive Computing,2022

4. Kidney tumor semantic segmentation using deep learning: a survey of state-of-the-art;Abdelrahman;Journal of Imaging,2022

5. Deep semantic segmentation of kidney and space-occupying lesion area based on SCNN and ResNet models combined with SIFT-flow algorithm;Xia;J. Med. Syst.,2019

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